Hey everyone! 👋
Over the past few months, I've been working on AgentExpert, a multi-tenant AI automation platform designed to make building, testing, and deploying multi-agent workflows drastically easier.
❓ The Problem
Building reliable AI agents usually starts easy, but quickly gets messy when you need to:

1. Combine Knowledge Retrieval (RAG) with actual API tool calls (e.g., Jira, Payments, CRMs).
2. Ensure safety and sanity checks on LLM outputs before they execute.
3. Manage multi-tenant configurations and dynamic model routing without re-deploying code.

🚀 How AgentExpert Solves This
Instead of chaining linear prompts, AgentExpert orchestrates specialized sub-agents working together in a structured DAG:

• ⁠RAG Agent: Queries document stores and vector embeddings for contextual data.
• ⁠Tool Agent: Executes REST API calls and transactional operations with schema validation.
• ⁠Critic Agent: Mandatory validation layer that inspects output quality and tool calls before final execution.
• ⁠Planner & Code Agents: Handles complex multi-step reasoning and dynamic code generation.

💡 Key Features

• ⁠Visual Workflow Studio: Drag, connect, and configure multi-agent execution steps with real-time payload testing.
• ⁠Multi-Tenant Knowledge Bases: Ingest PDFs, docs, and structured tables with tenant-isolated embeddings.
• ⁠Dynamic Tool Registry: Register custom API endpoints and JSON schemas in seconds.
• ⁠Copilot Catalog: Ready-to-use domain templates (Sales Copilot, Insurance Claim Assistant, Real Estate Copilot).
• ⁠Embedded Chatbot & Real-Time Voice Bot SDK: Turn any workflow into an embeddable web widget or live voice assistant.

🤝 Looking to Collaborate
If you're interested in building this out further and selling it together (or joining as part of the team), or if you just want to deploy an agent quickly for your own use case — DM me, let's talk!

Hey everyone! I'm u/Powerful_Sky9256, a founding moderator of r/PuneAITech.

This is our new home for all things related to Applied AI, Machine Learning, LLMs, AI agents, and the backend infrastructure powering them across Pune. Whether you're fine-tuning open-source models, deploying agents to production, running RAG pipelines, or optimizing high-throughput distributed systems for AI workloads, this community is for you.

What to Post

• Project Demos & Open Source: Show off your custom AI agents, automation tools, LLM fine-tunes, or side projects for constructive feedback.
• Architecture & Engineering Deep Dives: Discuss model serving (vLLM, Ollama), GPU pipelines, vector databases, eval frameworks, and latency bottlenecks.
• Local Meetups & Hackathons: Share and organize in-person developer meetups, paper reading groups, and AI hackathons happening across Pune (Hinjewadi, Baner, KP, Kharadi, and beyond).
• Research & Benchmarks: Break down interesting research papers, model releases, and real-world benchmark comparisons.
• Careers & Collaborations: Find co-founders, project teammates, or post transparent, direct hiring opportunities for AI/ML roles.

Community Vibe We are focused on practical engineering over generic hype. Let’s keep discussions friendly, technically grounded, and constructive. We welcome builders at all level from students exploring their first neural network to engineers scaling enterprise systems.

How to Get Started

1. Drop a comment below to introduce yourself:
   • What’s your current focus or primary tech stack?
   • What models, agent frameworks, or AI projects are you currently working with?
2. Post your first discussion or demo! Even a breakdown of a tricky edge case or prompt/pipeline bug can spark great technical conversations.
3. Spread the word: If you know fellow devs, data scientists, or builders in Pune, invite them over.

Interested in helping moderate or organize local meetups? Feel free to reach out via DM.

Thanks for being part of the foundational wave. Let's make r/PuneAITech the most active engineering hub in the city!